BART (language model)
BART (an acronym for Bidirectional and Auto-Regressive Transformers) is a transformer-based encoder-decoder language model introduced by Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman…
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BART (an acronym for Bidirectional and Auto-Regressive Transformers) is a transformer-based encoder-decoder language model introduced by Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman…
BlenderBot is a line of open-domain conversational agents built by Facebook AI Research (FAIR), the lab now known as Meta AI.
Chameleon is a family of early-fusion, token-based mixed-modal foundation models from Meta AI's Fundamental AI Research (FAIR) group that represents both images and text as discrete tokens in a single unified…
DINOv2 is a family of self-supervised Vision Transformer models released by Meta AI Research in April 2023 that produces general-purpose visual features transferring to many downstream tasks without…
DINOv3 is a family of self-supervised computer vision foundation models released by Meta AI in August 2025.
ESMFold is a protein structure prediction model developed by the Meta AI Fundamental AI Research (FAIR) Protein Team.
Emu is a text-to-image generation foundation model developed by Meta AI and unveiled at the Meta Connect conference in September 2023.
Emu Edit is an instruction-based image editing model from Meta AI, announced on November 16, 2023 alongside the text-to-video model Emu Video.
Emu Video is a text-to-video generation model from Meta AI, announced on November 16, 2023, that creates short clips by first turning a text prompt into an image and then generating a video conditioned on both…
ImageBind is a multimodal model from Meta AI (its Fundamental AI Research lab) that learns a single joint embedding space across six different modalities: images and video, text, audio, depth, thermal…
The Llama model card is the official documentation that Meta AI ships with each release of the Llama family of large language models.
Llama 3 is a family of open-weight large language models developed by Meta. Meta released the original Llama 3 checkpoints on April 18, 2024, in 8-billion-parameter and 70-billion-parameter sizes.
Llama 3.1 is a family of open-weight large language models released by Meta on July 23, 2024, in three sizes, 8 billion, 70 billion, and 405 billion parameters, each shipped in both a pre-trained base form and…
Llama 3.2 is a family of four open-weight large language models released by Meta on September 25, 2024, comprising lightweight 1 billion and 3 billion parameter text-only models for on-device AI and the 11…
Llama 3.3 is an instruction-tuned, text-only large language model with 70 billion parameters that Meta released on December 6, 2024
Llama 4 Behemoth is the announced but never publicly released flagship model in the Llama 4 family from Meta AI.
Llama 4 Scout and Llama 4 Maverick are open-weight, natively multimodal AI large language models developed by Meta and released on April 5, 2025.
Meta Motivo is a behavioral foundation model for controlling a simulated humanoid body, released by Meta AI's Fundamental AI Research (FAIR) group on December 12, 2024.
Muse Glimmer is an open-weight text-and-image model developed by Meta AI for local agent and coding workloads. Meta released the model on August 10, 2026 under the identifier meta-models/Muse-Glimmer-30B.
Muse Image is a proprietary image-generation and editing system developed by Meta Superintelligence Labs, a division of Meta.
Muse Voice Transcribe is a hosted speech recognition model developed by Meta Superintelligence Labs. Meta released it on September 1, 2026 as the lab's first real-time audio perception model.
Nougat (Neural Optical Understanding for Academic Documents) is a document-understanding model from Meta AI that converts the rendered image of a document page into structured markup text.
SAM 2 (Segment Anything Model 2) is a promptable visual segmentation model for both images and video developed by Meta AI and released on 29 July 2024.
Sapiens is a family of human-centric computer vision foundation models developed by Meta (Reality Labs), introduced in 2024 and presented as an oral paper at the European Conference on Computer Vision (ECCV)…
Segment Anything Model (SAM) is a promptable image segmentation foundation model released by Meta AI on April 5, 2023 that lets users "cut out" any object in an image with a single click, box, or mask prompt…